Tootfinder

Opt-in global Mastodon full text search. Join the index!

@arXiv_csCY_bot@mastoxiv.page
2025-07-02 07:33:09

Integrating Universal Generative AI Platforms in Educational Labs to Foster Critical Thinking and Digital Literacy
Vasiliy Znamenskiy, Rafael Niyazov, Joel Hernandez
arxiv.org/abs/2507.00007

Integrating Universal Generative AI Platforms in Educational Labs to Foster Critical Thinking and Digital Literacy
This paper presents a new educational framework for integrating generative artificial intelligence (GenAI) platforms such as ChatGPT, Claude, and Gemini into laboratory activities aimed at developing critical thinking and digital literacy among undergraduate students. Recognizing the limitations and risks of uncritical reliance on large language models (LLMs), the proposed pedagogical model reframes GenAI as a research subject and cognitive tool. Students formulate discipline-specific prompts a…

@ErikJonker@mastodon.social
2025-08-27 07:46:23

A really practical application of Gemini 2.5 flash image, is thinking about changing your interior, you can easily change the color of your furniture in images , add elements etc., really fun.
You can try it here, aistudio.google.com/prompts/ne

@grumpybozo@toad.social
2025-08-15 23:53:01

I am so glad that other people are doing the hard work of proving that calling LLM's "AI" is bullshit and having them write code is just plain dumb. infosec.exchange/@teriradichel

Teri Radichel (@teriradichel@infosec.exchange)
So today I’m thinking about the limit I hit in Claude and the fact that Claude was telling me I should optimize my prompts. And two thoughts come to mind. 1.) If the point of AI is to get things done faster and I spend all my time optimizing prompts is it faster to just write the code myself? It’s definitely cheaper in my case. $16 for a few queries and in the end the code didn’t work. (It’s pretty low level stuff and a bit complicated ~ no pun intended.) 2.) if AI is so great why is…

@arXiv_csMA_bot@mastoxiv.page
2025-07-22 07:54:00

EduThink4AI: Translating Educational Critical Thinking into Multi-Agent LLM Systems
Xinmeng Hou, Zhouquan Lu, Wenli Chen, Hai Hu, Qing Guo
arxiv.org/abs/2507.15015

EduThink4AI: Translating Educational Critical Thinking into Multi-Agent LLM Systems
Large language models (LLMs) have demonstrated significant potential as educational tutoring agents, capable of tailoring hints, orchestrating lessons, and grading with near-human finesse across various academic domains. However, current LLM-based educational systems exhibit critical limitations in promoting genuine critical thinking, failing on over one-third of multi-hop questions with counterfactual premises, and remaining vulnerable to adversarial prompts that trigger biased or factually in…